EEAI 2023 Conference, 17-19 October in Athens


The European Conference on EDGE AI Technologies and Applications - EEAI Conference – was held on 17-19 of October 2023 at the Royal Olympic Hotel, Athens, Greece.  ITML hosted and organised the conference together with SINTEF and Convergence. The EdgeAI project, which is funded by KDT_JU, brought together innovations in Edge technologies and AI in this conference. 

Edge artificial intelligence (AI) combines AI, the Internet of Things (IoT) and edge computing technologies to provide real-time collection, processing, analytics, and decision-making. The edge AI technologies and applications are constantly evolving and are driving future intelligent control and decision-making by moving AI capabilities closer to the physical world to enable the implementation of autonomous systems.
The development of edge AI is supported by advancements in edge processing devices with novel processing architectures, including CPUs, GPUs, TPUs, ASICs, FPGAs, system on chip (SoC), system on module (SoM), and neuromorphic accelerators. The expansion of the micro-, deep-, and meta-edge continuum as part of the novel distributed AI-based computing architectures support the emerging intelligent autonomous systems and applications across various industrial sectors.

The European Conference on EDGE AI Technologies and Applications – EEAI brings together researchers, practitioners, and edge intelligence champions to convey and exemplify their perspectives on energy-efficient edge AI architectures, frameworks, and platforms. The conference addresses the edge AI foundations, applications, algorithms, software, communication networks, and systems. It allows showcasing the latest advancements in these areas, providing an arena for debating/identifying future directions and challenges.

The European Conference on EDGE AI Technologies and Applications aims to serve as an innovative edge AI platform for exchanging ideas and concepts and feature several leading voices in research and industry supporting the integration of edge AI technologies for advancing future industrial applications.
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